View of Impact Of Covid-19 Pandemic On Steel Industry: A Survey On Peekay Steel Castings Pvt.Ltd, Coimbatore.

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Impact Of Covid-19 Pandemic On Steel Industry: A Survey On Peekay Steel Castings

Pvt.Ltd, Coimbatore.

Dr A. Sarasu

1

_{, Srinivasan .S}

2

1_{Associate Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore,}

India.

2_{PG Student, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore, India.}

Article History: Received: 11 January 2021; Revised: 12 February 2021; Accepted: 27 March 2021; Published online: 10 May 2021

ABSTRACT: The objective of the study is to find and evaluate the perception of employees and production line due to COVID 19 pandemic situation. This Study Attempts to analyze the impacts of Corona Virus in Peaky Steel Castings Pvt. Ltd. Data was collected using a structured research questionnaire. 151 Samples have been collected using simple random sampling technique and analyzed using statistical tools like Percentage Analysis, Chi-Square Test, One-Way ANOVA and Ranking method. Due to COVID 19 the demand of the labor could be lowest level and it is expected the raw materials price could be increased, supply creates its own demand. Moreover the people as a charity groups specifically should increase the cooperation to safe the unemployment. To increase the hiring capacity of our economy, and government expenditure must be allocate properly to fight this COVID 19. The conclusion is that top management should create awareness of COVID 19 and educate its employees about the new policies of the company. For this management can provide and improve the leadership and other knowledge transmission program which helps the productivity in future and when compared to the other dimensions on survey the employees participation has been creating higher impact.

KEYWORDS: COVID 19, Steel industry, Unemployment INTRODUCTION

In the Year and mid of 2020, the Corona Virus Spread all over the World and create huge impact in all the sectors. Through that the various field can be affected and facing the different issues in their organizations. And subsequently the organization faced the fear in spreading of COVID 19 so that employees faced the unemployment and production were stopped till certain months. In this Paper we determine the short run of labor and market effects Pre COVID and Post COVID. First, we have to discuss about the company production stopped and during Pandemic Situation taking orders and unemployment can be discussed. And second is to be explore the level of awareness and drawbacks of COVID in companies. In January 2021, India saw an unemployment rate of over six percent. This was a significant improvement from the previous month. A damaging impact on an economy as large as India’s caused due a total lockdown was imminent. Unemployment went up to nearly 24 percent in April 2020. This was possibly a result of a decrease in demand as well as the disruption of workforce faced by companies. Furthermore, this caused a GVA loss of more than nine percent for the Indian economy that month.

The trickle-down effect

Between February and April 2020, the share of households that experienced a fall in income shot up to nearly 46 percent. Inflation rates on goods and services including food products and fuel were expected to rise later this year. Social distancing resulted in the job losses, specifically those Indian society’s lower economic strata. Several households terminated domestic help services – essentially an unorganized monthly-paying job.

NEED FOR THE STUDY

The Need of the study could be finding the economic problems and employment issues in Pre COVID and Post COVID. Due to COVID 19 crisis the unemployment could be growing fastly in all the countries. Due to that, this Study would be must in this time to known the economic factors and turnover in Post COVID.

OBJECTIVES OF THE STUDY Primary objective

• To Finding and evaluate the perception of employees and production line towards the Peekay steel castings pvt.ltd during covid 19 pandemic.

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• To Understand and analyze the impact of COVID 19 on company and its employees.

• To explore the level of awareness and drawbacks of COVID 19 among the employees of the Peekay Steel Castings Pvt. Ltd.

• To analyze the level of acceptance of employees towards company’s main control measures for the spread of this new Covid 19 strain.

• To ascertain the improvement techniques on increasing ability of work among employees of the company. •

SCOPE OF THE STUDY

The scope of the impact of covid-19 pandemic on steel industry: A survey on Peekay Steel Castings Pvt. Ltd, Coimbatore

• Will be extended to other industries and sectors as well. • Will be extended for other cities and states as well.

• Will be able to analyze the consumer buying behavior during pandemic • Will be able to examine the supplier’s prospects during pandemic.

• Will be able to study the employee’s attitude during COVID -19 pandemic. RESEARCH METHODOLOGY

Research design: This Study attempts to analyze the Impacts of COVID19 in Peekay Steel Castings Pvt. Ltd. Data collection was done using a Structured Research Questionnaire was analyzed by the Minimum Analytical Tools. The Type of Research used was Descriptive or Qualitative Research Design to analyze the employee behavior and effect of productivity level that is affected due to pandemic situation.

Data collection

Population: Total population taken for the study at Peekay Steel Castings Pvt. Ltd is 400 employees.

Sampling Technique: A sample of 151 respondents have been collected using simple random sampling technique and analyzed using statistical tools.

Tools used for analysis: Tools like Percentage Analysis, Chi-Square Test, One-Way ANOVA Test and Ranking method have been used for analyzing the data.

LIMITATIONS OF THE STUDY

•

Established Work from Home for Employees

•

Effective for Hr Tech

•

Coping with New Employers is difficulty

•

Employee Safety

•

Giving Training to New Employees and Orientation Program.

•

DATA ANALYSIS AND INTERPRETATION

Table 1: Demographic variables of the respondents

Demographic variables Particulars Frequency Percent

Gender Male 150 99.3 Female 1 0.7 151 100 Qualification UG 56 37.7 PG 66 43.7 Diploma 27 17.9 Professional 1 0.7 Total 151 100

Income Wise Distribution 15000-25000 22 14.6

25000-35000 58 38.4

35000-45000 42 27.8

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Above 55000 12 7.9

Total 151 100

Experience 11 - 15 years 51 33.8

5 - 10 years 86 57.3

More than 15 years 14 9.3

Total 151 100

Marital status Married 103 68.6

Single 47 31.1

Total 151 100

Department / Division Additive manufacturing 50 33.1

AOD 18 11.9 Inspection 21 13.9 Machine shop 11 7.3 Molding 19 12.6 Simulation 32 21.2 Total 151 100 Age 21-30 46 30.5 31-40 78 51.7 41-50 23 15.2 More than 50 4 2.6 Total 151 100

It shows that male employees were found 100%.. 38% of the respondents belong to UG, 44% got PG, 18% belong to Diploma and .7% professional can be founded. The highest income group falls between Rs.25,000 – 35,000 and lowest above Rs.55,000. 34% of 11-15 years, 5-10 years of 57%, more than 15 years is 9%.69% of the respondents were married and 31% were single. 33% of the respondents belong to additive manufacturing, 12% AOD, 14% of inspection, 7% machine shop, 13% molding, and 21.2% simulation were founded. 30% of respondents were at the age group of 21-30, 52% of 31- 40, 15% of 41-50 and 3% of more than 50 were founded.

Table 2: Comparison between educational qualification and Feeling stressed and burnout during pre and post lockdown

Ho1: There is no relationship between educational qualification and feeling stressed and burnout during pre and post lockdown

Crosstab Count

Feeling stressed and burnout during pre and post lockdown

Total

Strongly Agree Neutral Disagree

Qualification UG 15 3 39 57

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Diploma 11 0 16 27

Professional 1 0 0 1

Total 51 5 95 151

Chi-Square Tests

Value df Asp. Sig. (2- sided)

Pearson Chi-Square 5.372a₆ _.007

It depicts that there is a relationship between educational qualification and feeling stressed and burnout during pre and post lockdown (0.007) as the level of significance is less than 0.05. It reveals that the respondents who have completed their pg degree toward feeling stressed and burnout during pre and post lockdown.

Table 3: Comparison between educational qualification and Kind of problems is the company facing in terms of its response to the new strain of COVID 19 pandemic which is currently spreading throughout the world Ho2: There is no relationship between educational qualification and kind of problems is the company facing in terms of its response to the new strain of COVID 19 pandemic which is currently spreading throughout the world

It depicts that there is no relationship between educational qualification and kind of problems is the company facing in terms of its response to the new strain of COVID 19 pandemic which is currently spreading throughout the world (0.835) as the level of significance is greater than 0.05.

Table 4: Comparison between educational qualification and Company's main control measures for the spread of this new COVID 19 strain

Ho3: There is no relationship between educational qualification and Company's main control measures for the spread of this new COVID 19 strain

Interpretation

It depicts that there is no relationship between educational qualification and company's main control measures for the spread of this new COVID 19 strain (0.668) as the level of significance is greater than 0.05. Table 5: Comparison between age and acceptance of respondents towards various factors

H04: There is a significant difference between age and acceptance of respondents towards various factors

There is a significant difference between age and Feeling stressed and burnout during pre and post lockdown (0.018) and overall satisfaction level of working with the company in the COVID 19 period (0.006).

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The respondents from the age group between 21-30 (3.17) disagree, respondents from the age group between 31-40 (3.0) are neutral, respondents from the age group between 41-50 (2.57) agree and the respondents from the age group more than 50 (1.75) strongly agree towards feeling stressed and burnout during pre and post lockdown.

Overall satisfaction level of working with the company in the COVID 19 period

The respondents from the age group between 21-30 (3.07) and the respondents from the age group between 31-40(3.35) dissatisfied towards level of working with the company in the COVID 19 period. Meanwhile, the respondents from the age group between 41-50 (2.64) and the respondents from the age group more than 50 (2.50) satisfied towards level of working with the company in the COVID 19 period.

FINDINGS

• The qualification wise distribution respondents and it is found that 38% UG, 44% PG, 18% diploma, .7% professional can be founded.

• The respondents were 34% of 11-15 years, 5-10 years of 57%, more than 15 years is 9%. • The marital wise distribution of respondents and the 69% were married, 31% were single.

• The department wise distribution. In that 33% of additive manufacturing, 12% AOD, 14% of inspection, 7% machine shop, 13% moulding, 21.2% simulation were founded.

• The age wise distribution shows that 30% of 21-30, 52% of 31- 40, 15% of 41-50, 3% of more than 50 were founded.

• For chi-square analysis there is a relationship between educational qualification and feeling stressed and burnout during pre and post lockdown.

• In chi-square analysis second comparison of there is no relationship between educational qualification and kind of problems is the company facing in terms of its response to the new strain of COVID 19 pandemic which is currently spreading throughout the world.

• For third comparison of chi-square there is no relationship between educational qualification and Company's main control measures for the spread of this new COVID 19 strain.

• In the one way ANOVA analysis there is a significant difference between age and acceptance of respondents towards various factors.

• There is a significant difference between age and Feeling stressed and burnout during pre and post lockdown (0.018) and overall satisfaction level of working with the company in the COVID 19 period (0.006).

• That ranking analysis for improvement techniques on increasing productivity respondents were collected, in that least impact were been 13%, and major impact is 32% is founded.

• For the rank analysis of company control measures spreading covid 19 and it denotes that 18% of least impact, and 22% were the average of control measures, 100% were strongly taking control measures are founded. •

SUGGESTIONS

• Top and middle management could be giving strong motivation to the employees.

• Top management should be create aware of COVID 19 and should instruct follow measures. • The top level management could be educate the policies of the company to the employees.

• The employees don’t have any opinion about the effort taken by the management to encourage team work and it shows that the management is in lag with this activity. For this purpose more effort can be made to increase the quality of service in future period of time.

• The employees could be lag of providing suggestions to their co workers and superior for necessary changes. • For this management can provide and improve the leadership and other knowledge transmission program which

helps the productivity in future. •

CONCLUSION

Due to COVID 19 the demand of the labor could be lowest level and it is expected the raw materials price could be increased, supply creates its own demand. Moreover the people as a charity groups specifically should increase the cooperation to safe the unemployment. To increase the hiring capacity of our economy, and government expenditure must be allocate properly to fight this COVID 19. The conclusion is that top management should create awareness of COVID 19 and educate its employees about the new policies of the company. For this management can provide and improve the leadership and other knowledge transmission program which helps the productivity in future and when compared to the other dimensions on survey the employees participation has been creating higher impact.

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REFERENCES

1. Baert, S., Lippens, L., Moens, E., Sterkens, P., & Weytjens, J. (2020). How do we think the COVID-19 crisis will affect our careers (if any remain)?.

2. Bartik, A. W., Bertrand, M., Cullen, Z., Glaeser, E. L., Luca, M., & Stanton,

3. Bauer, A., & Weber, E. (2020). COVID-19: how much unemployment was caused by the shutdown in Germany?. Applied Economics Letters, 1-6.

4. Couch, K. A., Fairlie, R. W., & Xu, H. (2020). The impacts of COVID-19 on minority unemployment: First evidence from April 2020 CPS microdata. Available at SSRN 3604814.

5. Dhinakaran, D. D. P., & Kesavan, N. (2020). Exports and Imports Stagnation in India During Covid-19-A Review.

6. Fadinger, H., & Schymik, J. (2020). The effects of working from home on covid-19 infections and production a macroeconomic analysis for germany. Covid Economics, 9(24), 107-139.

7. Gajdzik, B., & Wolniak, R. (2021). Influence of the COVID-19 Crisis on Steel Production in Poland Compared to the Financial Crisis of 2009 and to Boom Periods in the Market. Resources, 10(1), 4.

8. He, P., Sun, Y., Zhang, Y., & Li, T. (2020). COVID–19’s impact on stock prices across different sectors—An event study based on the Chinese stock market. Emerging Markets Finance and Trade, 56(10), 2198-2212. 9. Hirvonen, K. (2020). Economic impacts of COVID-19 pandemic in Ethiopia: A review of phone survey

evidence.

10. Kumar, A., Luthra, S., Mangla, S. K., & Kazançoğlu, Y. (2020). COVID-19 impact on sustainable production and operations management. Sustainable Operations and Computers, 1, 1-7.

11. Shen, H., Fu, M., Pan, H., Yu, Z., & Chen, Y. (2020). The impact of the COVID-19 pandemic on firm performance. Emerging Markets Finance and Trade, 56(10), 2213-2230.

12. Steen, T., & Brandsen, T. (2020). Coproduction during and after the COVID‐19 Pandemic: Will It Last?. Public Administration Review, 80(5), 851-855.

13. Sunarsi, D., Suryani, N. L., & Jati, W. (2020). Covid-19 Pandemic Analysis Toward Productivity Giving Layoffs Effect in The Company of Industrial Sector around South Tangerang. Prosiding ICoISSE, 1(1), 472-481.